Research Engineer Specialist

6 days ago


Singapore NTU (Nanyang Technology University- Main Office-HR) Full time

At NTU, we are driving the development of a strong trust hub in Singapore by supporting efforts to create a trusted digital environment for people and businesses.

About Us

We are Nanyang Technological University's National Centre for Research in Digital Trust (DTC), a leading research centre focused on executing national programmes to advance trust technology.

The key objective is to provide assurance and confidence as individuals and organisations digitalise. We strive to understand the complexities of trust technologies and develop innovative solutions.

Job Description

We are seeking a highly skilled Research Engineer I to join our team and contribute to our mission. The successful candidate will play a key role in researching and developing trust technologies, with a focus on mechanistic interpretability of vision-language models.

  • Conduct research into the localization of object information, the evolution of visual token representations across layers, and the mechanism of integrating visual information for predictions.
  • Collaborate with our researchers to design and develop research prototypes into proof-of-concept systems.
  • Design and build working tools that can support technology transfer to research partners and showcase the value of research outcomes.
  • Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, helping to educate and raise overall competency in emerging areas of trust technologies.
Requirements
  • Bachelor's / Master's degree in computer science or related field.
  • Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.
  • Strong analytical and problem-solving skills, with a focus on developing innovative solutions for LLMs.
  • Self-motivated and able to work independently, managing multiple tasks and projects in a fast-paced environment.
  • Strong collaborative skills, with experience working in cross-functional teams.
  • Keen attention to detail and commitment to high-quality deliverables.
  • Understanding of ethical considerations and best practices in AI research, particularly concerning data privacy and security.


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